Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:22:30.390776Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2507.05849.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:22:30.390776Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
84 of 84 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 48bf305f-9ab3-481d-9000-ea204b4e4463 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Machine learning regression techniques for the silage maize yield prediction using time-series images of landsat 8 oli,
Reference 1
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Observation 5b55a965-2af1-4665-9652-16ee8d071323 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Forecasting yield by integrating agrarian factors and machine learning models: A survey,
Reference 2
Source-reported events for the cited work
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Observation f843108f-3961-40ed-a5fb-d62804c2571d · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Kstage: A knowledge-guided spatial-temporal attention graph learning network for crop yield prediction,
Reference 3
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Observation eee4541d-3d21-4417-9170-283a1f0d93a9 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield estimation using time-series modis data and the effects of cropland masks in ontario, canada,
Reference 4
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Unavailable: canonical work link unavailable.
Observation ff9a5f1f-4aa3-40d4-9cd4-7a4c42d2783c · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning ap- proaches, with insights for future research and sustainability,
Reference 5
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Observation 728022cd-6ca6-45a3-9713-50ca350c95f5 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Corn yield prediction with ensemble cnn-dnn,
Reference 6
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Observation c4d7efca-9d33-4c57-a501-13b0c1fc85db · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield prediction: An operational approach to crop yield modeling on field and subfield level with machine learning models,
Reference 7
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Observation eb2a02eb-4c59-412d-81a3-f8fd3f7e3385 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep gaussian process for crop yield prediction based on remote sensing data,
Reference 8
Source-reported events for the cited work
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Observation 1cf14787-eb3a-4a27-8932-f1d5fc03757f · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A cnn-rnn framework for crop yield prediction,
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a873256f-82c3-4c28-b26b-c18e39600ccf · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning for remote sensing data: A technical tutorial on the state of the art,
Reference 10
Source-reported events for the cited work
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Observation fac04ec1-e5c9-46ac-b473-305e86410490 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Transformers in remote sensing: A survey,
Reference 11
Source-reported events for the cited work
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Observation ba62f2d1-c7f1-438e-9d6b-cf1039c514d3 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 12
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Observation 3f4cae43-873b-40a2-97f2-dd3bf8637ab8 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning in remote sensing applications: A meta-analysis and review,
Reference 13
Source-reported events for the cited work
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Observation 7f59915f-2c10-4c19-8ece-cefd5ed225af · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Levit: a vision transformer in convnet’s clothing for faster inference,
Reference 14
Source-reported events for the cited work
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Observation 766be730-2718-4caa-ac7b-93fc182c4131 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield prediction using deep neural networks,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f240dd5f-04bf-4723-a777-b2c537cccc18 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern brazil,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cd01af75-f331-4dd2-a5ae-cc160fda5eb0 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning for multi-source data-driven crop yield prediction in northeast china,
Reference 17
Source-reported events for the cited work
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Observation 6d388223-09eb-4c97-9be9-9f978c5d84e6 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Edge-guided recurrent positioning network for salient object detection in optical remote sensing images,
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a6bdd0e8-847a-4f10-ac16-6eed444e143d · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Revisiting edge detection in convolutional neural networks,
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5440d787-5418-4090-a64a-7c77463532ab · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Learning under concept drift: A review,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 02c83793-1848-4775-8d84-22a3c63dd72e · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A survey on concept drift adaptation,
Reference 21
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Observation bc711b91-459d-49b1-8e27-705bd363cda3 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning in agriculture: A survey,
Reference 22
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Observation fb5e2ee0-893f-476a-84e3-18c9bf9a9a83 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning for crop yield prediction: a systematic literature review,
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d2043e22-1d7b-434b-bc2f-1849add67a5a · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield predic- tion using machine learning and deep learning techniques,
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9efa2455-8074-4890-95e6-6c68c806d138 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning,
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbfcb33a-15c0-4e57-9bbc-e4bd80e835f1 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction You only look once: Unified, real-time object detection,
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 93fbbf47-40f4-47a5-a89c-7c0bb16d9384 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning,
Reference 27
Source-reported events for the cited work
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Observation 3c087bdd-a7c7-4641-aa77-e594a988b627 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning for vegetation health forecasting: a case study in kenya,
Reference 28
Source-reported events for the cited work
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Observation 55b060f8-5218-4351-8e13-d3d352132e53 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Panoptic segmentation of satellite image time series with convolutional temporal attention networks,
Reference 29
Source-reported events for the cited work
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Observation 6a124dba-bbca-4ff0-8059-738450fa5be3 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A gnn-rnn approach for harnessing geospatial and temporal information: applica- tion to crop yield prediction,
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cb59f2f7-f7f5-40c8-9614-5c348b139723 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A time-dependent parameter estimation framework for crop modeling,
Reference 31
Source-reported events for the cited work
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Observation 49bc42a0-b113-4cae-b702-631012db90ac · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Advanc- ing agricultural research using machine learning algorithms,
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 40909d86-716b-48fc-8ee8-d9a19acae678 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Learning long- term crop management strategies with cyclesgym,
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2cb0cd55-a028-45a5-a495-9b9186d33238 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield prediction with deep convolutional neural networks,
Reference 34
Source-reported events for the cited work
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Observation 9f9f101d-f29b-4a58-80f5-8bf1f9a2261a · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deep learning-based classification of hyperspectral data,
Reference 35
Source-reported events for the cited work
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Observation 6eeba02c-585f-40ee-a76a-69661ef9e764 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Enhancing rice crop health: a light weighted cnn-based disease detection system with mobile application integration,
Reference 36
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Observation 865f4691-f764-40bf-8240-05ddd8055635 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Comparison of cnn models for application in crop health assessment with participatory sensing,
Reference 37
Source-reported events for the cited work
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Observation 6214b210-5013-407b-8349-ab9915c9ca42 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Exploring the synergies of hybrid cnns and vits architectures for computer vision: A survey,
Reference 38
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Observation dacd5daf-a6e1-4faf-9628-d8ad20f38674 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Restormer: Efficient transformer for high-resolution image restoration,
Reference 39
Source-reported events for the cited work
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Observation b9d503a0-a2e5-4493-bc39-76c2949dce33 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Attention is all you need,
Reference 40
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Observation f225498d-30a2-4335-a034-538e8a4e4d68 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Self-attention generative adversarial networks,
Reference 41
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Observation 99f053d1-fc10-4ef4-aad9-9e8d3c473e49 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Transformers in vision: A survey,
Reference 42
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Observation a88a89b1-18e8-43dc-8f76-808c9a1d4ba8 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Extended vision transformer (exvit) for land use and land cover classification: A mul- timodal deep learning framework,
Reference 43
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Observation 3dd032f6-e1df-4c54-bf22-047c57dc7c82 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Mmst-vit: Climate change- aware crop yield prediction via multi-modal spatial-temporal vision transformer,
Reference 44
Source-reported events for the cited work
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Observation 2b061c01-a67a-4273-abc5-f3591212f8a1 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Enhancing crop productivity and sustainability through dis- ease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model,
Reference 45
Source-reported events for the cited work
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Observation 54386e97-eb53-472c-9049-53b3717e5fd8 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Conformer: Local features coupling global representations for visual recognition,
Reference 46
Source-reported events for the cited work
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Observation 892e2a1c-8636-4178-bd26-f8e918bd680f · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Deepyield: A com- bined convolutional neural network with long short-term memory for crop yield forecasting,
Reference 47
Source-reported events for the cited work
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Observation 245fd15c-b060-46af-a101-b96d0ccfb4bd · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Cvt: Introducing convolutions to vision transformers,
Reference 48
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Observation e7b01337-0e27-4e5e-b4e5-a9a3d2db3a36 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Incorporating convolution designs into visual transformers,
Reference 49
Source-reported events for the cited work
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Observation c0458d5c-8b87-46d3-ad6c-e223a74e59e8 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Escaping the Big Data Paradigm with Compact Transformers
Reference 50
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Observation b8b2ed47-6315-410e-ba62-97af32577f5b · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction LocalViT: Analyzing Locality in Vision Transformers
Reference 51
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DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding
Reference 52
Source-reported events for the cited work
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Observation 88beab83-7db9-4fa3-863c-9f5ced2905ba · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction End-to-end object detection with transformers,
Reference 53
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Observation 4f674e9c-5e2a-4db5-b272-f2b8fee4ce52 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Mobile-former: Bridging mobilenet and transformer,
Reference 54
Source-reported events for the cited work
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Observation 124ea52a-aa85-4310-963d-5524ba710b3f · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Tccnet: Temporally consistent context-free network for semi- supervised video polyp segmentation
Reference 55
Source-reported events for the cited work
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Observation 81225313-b69d-4f98-9f99-57ecedcabcc0 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Cross- enhancement transformer for action segmentation,
Reference 56
Source-reported events for the cited work
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Observation eb4c0917-10b9-4c10-af0e-7fad1d49c0b0 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Coatnet: Marrying convolu- tion and attention for all data sizes,
Reference 57
Source-reported events for the cited work
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Observation 9ecb0fc6-b1d4-47ab-9202-dbb632f1c9a3 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Cmt: Convolutional neural networks meet vision transformers. 2022 ieee,
Reference 58
Source-reported events for the cited work
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Observation e4731fa7-11d1-44a9-a7c7-875b2b5d44c3 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Vitae: Vision transformer advanced by exploring intrinsic inductive bias,
Reference 59
Source-reported events for the cited work
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Observation 32a922b3-16f2-4aa7-882e-e214bfad1830 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Dilated Neighborhood Attention Transformer
Reference 60
Source-reported events for the cited work
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Observation ae11a83c-319f-4d86-be7b-0a244eddfcdb · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Per-pixel classification is not all you need for semantic segmentation,
Reference 61
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Observation 0fb46a02-82a2-4e83-8579-e208681f794b · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Efficientformer: Vision transformers at mobilenet speed,
Reference 62
Source-reported events for the cited work
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Observation ba0c76c1-9db5-41d8-b56e-9ca729f5dbf4 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Swin2sr: Swinv2 transformer for compressed image super-resolution and restoration,
Reference 63
Source-reported events for the cited work
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Observation f9aa5ee4-c73b-41bf-af20-e2f2d096bc69 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Vitmatte: Boosting image matting with pre-trained plain vision transformers,
Reference 64
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Observation 9135ae6a-2461-4822-93f6-b14e37f1d262 · outbound
Reference 65
Source-reported events for the cited work
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Observation ca3fd117-9f3a-4ebc-8335-b9f61f3aac98 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Eca-net: Efficient channel attention for deep convolutional neural networks,
Reference 66
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Observation c3789e9f-2c6c-4c13-af81-0f0f7b91b116 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Dual attention network for scene segmentation,
Reference 67
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Observation 4d089f87-43a4-407e-96fe-1b1e1f8973ff · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Concurrent spatial and channel ‘squeeze & excitation’in fully convolutional networks,
Reference 68
Source-reported events for the cited work
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Observation 48ee36ce-5c0e-4bb2-ac19-2105465b3d23 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Cbam: Convolutional block attention module,
Reference 69
Source-reported events for the cited work
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Observation 15ff350f-1d74-429f-8320-57149341385d · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Bottleneck transformers for visual recognition,
Reference 70
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DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Crop yield prediction using multitemporal uav data and spatio-temporal deep learning models,
Reference 71
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DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Multispectral crop yield prediction using 3dconvolutional neural networks and attention convolutional lstm approaches,
Reference 72
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DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Con- vlstm–vit: A deep neural network for crop yield prediction using earth observations and remotely sensed data,
Reference 73
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DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Squeeze-and-excitation networks,
Reference 74
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DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction An open and large-scale dataset for multi-modal climate change-aware crop yield predictions,
Reference 75
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Observation 372b75a1-e040-4147-91ae-44f55a3e78ad · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A convlstm conjunction model for groundwater level forecasting in a karst aquifer considering connectivity characteristics,
Reference 76
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Observation 70186c1f-075f-4722-87ef-e0ab08aa1535 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Agricultural trade publications and the 2012 midwestern us drought: A missed opportunity for climate risk communication,
Reference 77
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DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A 3x3 isotropic gradient operator for image processing,
Reference 78
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Observation 52de0cf6-8645-44f7-ac49-0f695cebeee2 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction A computational approach to edge detection,
Reference 79
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Observation a934e43e-3292-4077-856a-83d822d3438a · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Computer determination of the constituent structure of biological images,
Reference 80
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Observation 08c59944-6815-4611-ba0f-67456e7b75bc · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Theory of edge detection,
Reference 81
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Observation 5f197a0a-1ae8-4189-8129-f52ab8ae77b8 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Object enhancement and extraction,
Reference 82
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Observation d54cd061-1eb8-4f2a-92c8-f75304f9f104 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Machine perception of three-dimensional, so lids,
Reference 83
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Observation 31566632-3468-4f3f-b138-cc194444b027 · outbound
DFYP: A Dynamic Fusion Framework with Spectral Channel Attention and Adaptive Operator learning for Crop Yield Prediction Optimal filters for extended optical flow,
Reference 84
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No inbound Pith citation observations are available.